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  <title>Description of pca_apply_large</title>
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  <meta name="description" content="Wrapper for pca_apply that allows for application to large X.">
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<h1>pca_apply_large
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<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Wrapper for pca_apply that allows for application to large X.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function [ Yk, Xhat, pixelerror ] = pca_apply_large( X, U, mu, variances, k ) </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Wrapper for pca_apply that allows for application to large X.

 Wrapper for pca_apply that splits and processes X in parts, this may be
 useful if processing cannot be done fully in parallel because of memory
 constraints. See pca_apply for usage.

 INPUTS
   same as pca_apply

 OUTPUTS
   same as pca_apply

 DATESTAMP
   29-Nov-2005  2:00pm

 See also <a href="pca.html" class="code" title="function [ U, mu, variances ] = pca( X )">PCA</a>, <a href="pca_apply.html" class="code" title="function [ Yk, Xhat, avsq, avsq_orig ] = pca_apply( X, U, mu, variances, k )">PCA_APPLY</a>, <a href="pca_visualize.html" class="code" title="function varargout = pca_visualize( U, mu, variances, X, index, ks, filename, show )">PCA_VISUALIZE</a></pre></div>

<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="pca_apply.html" class="code" title="function [ Yk, Xhat, avsq, avsq_orig ] = pca_apply( X, U, mu, variances, k )">pca_apply</a>	Companion function to pca.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
</ul>
<!-- crossreference -->



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